Performance Evaluation of Human Resource Management in Power Enterprises using Multi-Criteria Decision-Making Methodology and TreeSoft Set

Human Resource Management (HRM) plays a crucial role in the operational success and sustainability of power enterprises. So, this study proposes a multi-criteria decision-making approach (MCDM) for Performance Evaluation of Human Resource Management in Power Enterprises. Two MCDM methods are used in this study such as CIMAS to compute the criteria weights and COPRAS method to rank the alternatives. We used the TreeSoft set with the MCDM approach to deal with various criteria and sub criteria. We divide the problem into three levels such as first level present root node, second level presents the criteria, and third level presents the sub criteria. Then we propose a case study to show the validation of the proposed approach. We applied comparative analysis to show the effectiveness of the proposed approach.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-03-08
DOI
https://doi.org/10.5281/zenodo.14991726
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
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article

Performance Evaluation of Human Resource Management in Power Enterprises using Multi-Criteria Decision-Making Methodology and TreeSoft Set

SHILAP Revista de lepidopterología
Multi-Criteria Decision Making
article

Performance Evaluation of Human Resource Management in Power Enterprises using Multi-Criteria Decision-Making Methodology and TreeSoft Set

article en

Abstract

Human Resource Management (HRM) plays a crucial role in the operational success and sustainability of power enterprises. So, this study proposes a multi-criteria decision-making approach (MCDM) for Performance Evaluation of Human Resource Management in Power Enterprises. Two MCDM methods are used in this study such as CIMAS to compute the criteria weights and COPRAS method to rank the alternatives. We used the TreeSoft set with the MCDM approach to deal with various criteria and sub criteria. We divide the problem into three levels such as first level present root node, second level presents the criteria, and third level presents the sub criteria. Then we propose a case study to show the validation of the proposed approach. We applied comparative analysis to show the effectiveness of the proposed approach.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 49%
Multi-Criteria Decision Making
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Performance Evaluation of Human Resource Management in Power Enterprises using Multi-Criteria Decision-Making Methodology and TreeSoft Set · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS